- Liquid AI (San Francisco, CA)
- …research documents, and thought leadership within the team and the broader ML community Collaborate with the applied research and business teams on client‑specific ... world‑class infrastructure, a fast‑moving research team, and deep collaboration across ML , systems, and product The opportunity to shape multimodal foundation model… more
- Liquid AI (San Francisco, CA)
- …Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can't: on-device, at the edge, ... under real-time constraints. We're not iterating on old ideas-we're architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation… more
- Gusto (Seattle, WA)
- Staff Applied AI/ ML Engineer - Customer...solving complex business problems. Lead and mentor teams of ML engineers, fostering a culture of technical ... technical strategy, roadmap, and architectural decisions for the ML /AI function. Communicate findings, roadmaps, and performance results clearly...candidate journey, please fill out this form and a member of our team will get in touch with… more
- General Motors (Sunnyvale, CA)
- ** Staff AI/ ML Engineer, AV ML Infra**As a ** Staff AI/ ML Engineer**, you will be a technical expert within the AV ML Infra team, driving the ... design and implementation of scalable ML infrastructure solutions. You will influence the direction of...infrastructure solutions. You will influence the direction of our technical projects, provide mentorship to peers, and help shape… more
- Navitas (Herndon, VA)
- …characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their ... trade-offs, and implementation strategies to technical and non- technical stakeholders. Build and maintain shared ML ...will support positive programs for equal treatment of all staff and full utilization of all qualified employees at… more
- Amazon (San Francisco, CA)
- Software Dev Engineer ( ML ), AGI Foundations Job ID: 3090523 | Amazon.com Services LLC The Artificial General Intelligence (AGI) fine tuning team is looking for a ... passionate, talented, and inventive ML Engineer with a strong machine learning background, to...hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and… more
- GEICO (Palo Alto, CA)
- …all communication channels, from voice (IVR) to chat.Our Senior Engineer is a leading member of the engineering staff working across the organization to provide ... where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all… more
- Fuku (San Francisco, CA)
- Member of Technical Staff (Backend)...track record of building and selling successful AI and ML systems. Key company highlights Has never lost an RFP ... founders who previously sold an AI company and built ML systems used by millions. Operates in a high-velocity,...a high-velocity, customer-focused, no-nonsense environment. About the Role - Member of Technical Staff (Backend)… more
- Amazon (San Francisco, CA)
- A leading technology company is seeking a Member of Technical Staff specializing in Reinforcement Learning to develop infrastructure for training AI models. ... Ideal candidates will have a PhD or Master's and experience with large-scale ML systems. This position is based in San Francisco, California, and offers the… more
- Amazon (San Francisco, CA)
- Member of Technical Staff - Machine...expertise with software engineering excellence to scale and optimize our ML workflows. You will be a key member ... leading computer-use agent. You will be hired as a Member of Technical Staff . Key...deploy machine learning models, frameworks, and data pipelines Optimize ML training, inference, and evaluation workflows for reliability and… more
- Recruiting From Scratch (Berkeley, CA)
- Title of Role: Founding Member of Technical Staff (Software) Location: Berkeley, CA Company Stage of Funding: Seed Stage (recent $3M round) Office Type: ... for FPGA-based security switches. Build SDKs and integrations for ML engineers to seamlessly interact with security stacks from...by 2026. Ideal Background 3+ years of experience in ML research or engineering with a track record of… more
- Recruiting From Scratch (San Francisco, CA)
- Role Title: Member of Technical Staff - Product Machine Learning Location: San Francisco, CA (Onsite, 5 days/week - Union Square) Company Stage of Funding: ... management, and financial services. What You Will Do Build and enhance ML and product infrastructure that powers AI-driven document processing systems. Design and… more
- Amazon (San Francisco, CA)
- Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy Job ID: 2902948 | Amazon.com Services LLC The Amazon AGI SF Lab is focused ... and robust. Work across the entire technology stack, including low level ML system, job orchestration and data management. Analyze, troubleshoot and profiling… more
- Recruiting From Scratch (San Francisco, CA)
- Role Title Member of Technical Staff - Firmware Location: San Francisco Bay Area (Onsite, 5 days/week; relocation assistance available) Company Description ... computer vision technology. What You Will Do As a Member of Technical Staff -...Enable edge AI inference, bridging embedded systems with on-device ML models. You'll play a pivotal role in defining… more
- Recruiting From Scratch (San Francisco, CA)
- Overview Title: Member of Technical Staff - Backend Location: San Francisco, CA (Onsite, 5 days per week) Company Stage of Funding: Acquired (operating ... an industry leader. What You Will Do As a Member of Technical Staff -...data extraction and automation products. You'll collaborate closely with ML and product teams to deliver scalable, high-performance solutions… more
- Tzafon (San Francisco, CA)
- …intelligence. We're a team of engineers and scientists with deep backgrounds in ML infrastructure & research. Founded by IOI and IMO medalists, PhDs, and alumni ... users do We're looking for Expert-level at Python and ML frameworks (PyTorch) Deep experience with LLM fine-tuning and...LLM fine-tuning and evaluation infrastructure Track record of shipping ML systems to production Strong opinions on what makes… more
- Sphinx (San Francisco, CA)
- …team, big surface area: Our co-founders previously sold an AI company & have built ML systems that scaled to millions of users and closed deals with major banks. The ... They've seen 90% less manual work, 4x lower costs. Technical Challenges 1. Browser Agents for the Invisible Web...vertically. You'll architect agent behaviors, build backend systems, optimize ML pipelines, and ship product features - often in… more
- Tzafon (San Francisco, CA)
- …intelligence. We're a team of engineers and scientists with deep backgrounds in ML infrastructure & research. Founded by IOI and IMO medalists, PhDs, and alumni ... post-training foundation models on large clusters Expert-level at Python and ML frameworks (PyTorch, JAX, Torchtitan) Strong systems skills: distributed training,… more
- Cohere (San Francisco, CA)
- …require breakthrough compute. Focus on the things that matter, and join the team. As a Member of Technical Staff with a focus on Multimodal AI, you will: ... building evaluations to measure their performance. Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of… more
- Liquid AI, Inc. (Boston, MA)
- …the overhead of distributed training for long-running experiments Collaborate with ML engineers to implement new model architectures and training algorithms at ... scale Create monitoring and debugging tools to ensure training stability and resource efficiency across our infrastructure What You'll Gain: The opportunity to solve some of the hardest systems challenges in AI, working at the intersection of distributed… more
